Distributed real-time knowledge graph serving

Liang He, Bin Shao, Yatao Li, Enhong Chen

Abstract: The acquisition of knowledge becomes scalable. Due to the great connectedness, knowledge data by its very nature are complex entity graphs with rich schemata. The machine-processable knowledge keeps its pace with the phenomenal “Big Data” era. On the one hand, we have a revolutionary way of piling knowledge up; on the other hand, the technology of making the knowledge graph accessible, i.e. how to serve the knowledge to support real-life applications, evolves slowly. This paper presents our efforts of serving real-world knowledge graphs at scale for real-time query processing.

External IDs:dblp:conf/bigcomp/HeSLC15